Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Image processing system and spatial noise reducing method

a spatial noise reduction and image processing technology, applied in image enhancement, image analysis, instruments, etc., can solve the problems of blurred images, poor image quality, and inability to achieve the effect of eliminating prior signal processing methods, so as to eliminate noise, enhance borders or boundaries, and eliminate noise and remaining image details

Active Publication Date: 2013-11-05
REALTEK SEMICON CORP
View PDF33 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

The invention provides an image processing system and method for reducing spatial noises while keeping image details. It calculates the variance of pixels in an image to identify noises or image details and adjusts the weight of each pixel accordingly to eliminate noises and enhance image borders or boundaries. This solves the problem of eliminating noises without losing image details and achieves the goal of both reducing noises and keeping image details.

Problems solved by technology

However, in the case of eliminating spatial noises on an image, signal processing method according to prior art, such as using a prior low-pass filter for filtering, not only eliminates noises but also makes the image blurred.
The prior signal processing method cannot achieve the effect of eliminating noises and remaining image details at the same time.
Thus, the image quality becomes worse.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Image processing system and spatial noise reducing method
  • Image processing system and spatial noise reducing method
  • Image processing system and spatial noise reducing method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0017]FIG.2A shows a schematic diagram illustrating an image processing system according to an embodiment. The image processing system 20 may be applicable to reduce noises of a spatial image. The image processing system 20 can remove the noises and preserve the image details concurrently.

[0018]The image processing system 20 includes an local variance local variance estimator 21, a noise detector 22, and a spatial de-noise filter 23.

[0019]The local variance estimator 21 estimates each pixel of an input image signal Vi (for example, each pixel in a frame) to separately output a local variance value of each pixel, and generate a noise threshold Th according to the state of the local variance values.

[0020]In an embodiment, the state of the local variance values of the input image signal Vi may be determined based on the maximum local variance value among all or part of the pixels and / or the average local variance value among all or part of the pixels.

[0021]In an embodiment, as shown in...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an image processing system and method thereof. The image processing system includes an local variance estimator, a noise detector, a spatial de-noise filter. The local variance estimator estimates each pixel of an input image signal to separately output a local variance value of each pixel, and generates a noise threshold according to the local variance values. The noise detector determines which pixel indicates noise or image according to the noise threshold. The spatial de-noise filter filers the pixel indicating noise to generate an output image signal.

Description

BACKGROUND OF THE INVENTION[0001](a) Field of the Invention[0002]The invention relates to an image processing system and the method thereof, particularly to an image processing system and the method thereof for eliminating noises and remaining image details on an image.[0003](b) Description of the Related Art[0004]FIG. 1 shows a schematic diagram illustrating an prior image processing system. Generally, an image processing system 10 includes a low-pass filter for removing noises on an image. The low-pass filter filters out the high-frequency noises from the input image signal Vi but remains the low-frequency portion of the input image signal Vi to generate an output image signal Vo, thereby producing the function of removing noises on an image.[0005]However, in the case of eliminating spatial noises on an image, signal processing method according to prior art, such as using a prior low-pass filter for filtering, not only eliminates noises but also makes the image blurred. The prior ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(United States)
IPC IPC(8): G06K9/40
CPCG06T5/002G06T2207/10004G06T2207/20012G06T5/70
Inventor CHANG, WEI-NAYU, CHIA-WEI
Owner REALTEK SEMICON CORP
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com